On-Site Associate Data Scientist — Identity & AI Analytics

Mitre Corporation; Bridgeport (WV); On-site; USD 80,000 - 120,000; Full time

Job summary

MITRE Corporation in Bridgeport, WV is seeking an Associate Data Scientist for an on-site role to build reproducible analytics that support evidence-based decisions at the intersection of identity management, biometrics, and AI.

You'll collaborate with senior staff, use Python, SQL, and Power BI to access, cleanse, analyze data, and present findings through clear visuals and reports, with an emphasis on reproducibility and secure handling of sensitive information.

Qualifications

• U.S. citizenship required for Top-Secret clearance eligibility.
• Bachelor's degree in a technical field (Data Science/CS/Statistics/Math/Engineering).
• Foundational Python experience for data analysis.
• Familiarity with SQL and relational databases.
• Ability to document work and communicate analyses clearly.
• Ability to obtain sponsor accounts on unclassified/classified networks.

Responsibilities

• Translate sponsor questions into analytical tasks with senior staff.
• Access, clean, combine, and analyze large datasets using Python/SQL.
• Explore data to identify patterns and opportunities for improvement.
• Develop analytical models and support recommendations with evidence.
• Create visualizations and dashboards using Power BI.
• Prepare reports explaining evidence behind recommendations.
• Maintain organized code and version control for reproducibility.
• Participate in peer reviews and communicate progress and data limits.
• Build familiarity with identity management, biometrics, and AI.

Skills

Python

SQL

Power BI

Git

Tableau

Education

Bachelor's degree in Data Science / CS / Statistics / Mathematics / Engineering

Tools

Tableau

Git

Job description

MITRE Corporation in Bridgeport, WV is seeking an Associate Data Scientist for an on-site role to build reproducible analytics that support evidence-based decisions at the intersection of identity management, biometrics, and AI.

You'll collaborate with senior staff, use Python, SQL, and Power BI to access, cleanse, analyze data, and present findings through clear visuals and reports, with an emphasis on reproducibility and secure handling of sensitive information.